Intelligent networked automobile automatic driving detection control method and control system thereof

• Main Authors: TAN MINYI, LI ZHIFENG, WANG ZHAO, LIANG CANBIN, ZHANG CHENWEI, CHEN DONGLE, CAO JINZHU, ZHOU WEIJIE, WANG HONGBO, WANG FEN, MO WEIJIE
• Format: Patent
• Language: Chinese; English
• Published: 26.07.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; COUNTING; PERFORMING OPERATIONS; PHYSICS; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT; TRANSPORTING; VEHICLES IN GENERAL

The invention relates to an intelligent networked automobile automatic driving detection control method and a control system thereof.The intelligent networked automobile automatic driving detection control method comprises the steps that based on steering decision information and lane information, a target track is planned through a continuous reinforcement learning model; judging whether the front wheel steering angle loss of the vehicle is greater than a threshold value or not; and if yes, adjusting the target trajectory through the continuous reinforcement learning model. Compared with the prior art, according to the automatic driving detection control method for the intelligent networked automobile, the front wheel turning angle loss of the intelligent networked automobile can be considered during track planning. When the current wheel turning angle loss is larger than the threshold value, the planned target track can be adjusted in time, so that the probability that the intelligent networked automobile c